Metadata-Version: 2.1
Name: lumispy
Version: 0.1.3
Summary: Analysis of luminescence spectroscopy data with HyperSpy.
Home-page: http://lumispy.org
Author: The LumiSpy developers
License: GPLv3
Project-URL: Bug Reports, https://github.com/lumispy/lumispy/issues
Project-URL: Source, https://github.com/lumispy/lumispy
Description: [![Build Status](https://dev.azure.com/Lumispy/lumispy/_apis/build/status/LumiSpy.lumispy?branchName=main)](https://dev.azure.com/Lumispy/lumispy/_build/latest?definitionId=3&branchName=main)
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        [![DOI](https://zenodo.org/badge/DOI/10.5281/zenodo.4640445.svg)](https://doi.org/10.5281/zenodo.4640445)
        
        [![Python Version](https://img.shields.io/pypi/pyversions/lumispy.svg?style=flat)](https://pypi.python.org/pypi/lumispy)
        [![PyPi Version](http://img.shields.io/pypi/v/lumispy.svg?style=flat)](https://pypi.python.org/pypi/lumispy)
        [![Anaconda Version](https://anaconda.org/conda-forge/lumispy/badges/version.svg)](https://anaconda.org/conda-forge/lumispy)
        [![License: GPL v3](https://img.shields.io/badge/License-GPLv3-blue.svg)](https://www.gnu.org/licenses/gpl-3.0)
        
        
        <img src="https://github.com/LumiSpy/lumispy/raw/main/doc/media/logo_rec_april21.svg" width="300" alt="LumiSpy">
        
        LumiSpy is an extension Python package for multi-dimensional data analysis 
        provided by the [HyperSpy](http://hyperspy.org) library. It is aimed at helping 
        with the analysis of luminescence spectroscopy data (cathodoluminescence, 
        photoluminescence, electroluminescence, Raman, SNOM).
        
        If analysis using LumiSpy forms a part of published work, please consider 
        recognising the code development by citing the project using the [Zenodo-DOI](https://doi.org/10.5281/zenodo.4640445).
        
        Instructions on how to install LumiSpy and get started: [installation guide](INSTALLATION.md).
        
        [Tutorials and example workflows](https://github.com/lumispy/lumispy-demos)
        have been curated as a series of Jupyter notebooks that you can work through 
        and modify to perform many common analyses. Simply:
        
        1. Download the `lumispy_demos` repository in your desired folder
        2. Load LumiSpy (see [installation guide](INSTALLATION.md))
        3. In Jupyter lab, navigate to the folder and start using the notebook
        
        Everyone is welcome to contribute. Please read our
        [contributing guidelines](.github/CONTRIBUTING.md) and get started!
        
Keywords: CL,PL,EL,TRCL,TRPL,SEM,STEM,TEM,cathodoluminescence,photoluminescence,electroluminescence,Raman,curve fitting,electron microscopy,hyperspectral,hyperspectrum,hyperspy,luminescence spectroscopy,lumispy,machine learning,model,multidimensional,numpy,python,scipy,spectroscopy,spectrum image,time-resolved
Platform: Linux
Platform: Mac OSX
Platform: Windows XP/2000/NT
Platform: Windows 95/98/ME
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.6
Classifier: Programming Language :: Python :: 3.7
Classifier: Programming Language :: Python :: 3.8
Classifier: Programming Language :: Python :: 3.9
Classifier: Development Status :: 4 - Beta
Classifier: Intended Audience :: Science/Research
Classifier: License :: OSI Approved :: GNU General Public License v3 (GPLv3)
Classifier: Natural Language :: English
Classifier: Operating System :: OS Independent
Classifier: Topic :: Scientific/Engineering
Classifier: Topic :: Scientific/Engineering :: Physics
Description-Content-Type: text/markdown
Provides-Extra: tests
Provides-Extra: coverage
